The
simple, elegant, and inevitable path to human level machine
intelligence and beyond, the Creativity Machine Paradigm, US
Patent 5,659,666 and all subsequent foreign and divisional
filings.

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IEI Sense Making Systems

Summary – Collectively, IEI’s patented neural network paradigms
enable the construction of brain-like parallel, distributed algorithms capable
of understanding, in the truest human sense, content of any kind arriving from
the external environment. If that body of information relates to the national
intelligence environment, our neural nets can effectively knit themselves into
so-called “Supernets” that autonomously model the dynamics governing that
world. By so doing, they go to heightened alert with newly arising scenarios,
and automatically develop models of the principal entities therein and their
interrelationships. Most importantly, they correlate such activities with any of
the neural system’s analogous prior experience in a process equivalent to the
way the human mind makes sense of the world. The IEI methodology is therefore a
sine qua non for the national intelligence community as well as various
corporate interests wanting a leg up on their competition.

Details
– Whereas the public at large believes that creativity is confined to
discovery, invention, and artistic endeavors, most of the mundane activities of
the brain such as motor planning and the involuntary interpretation of sensory
input are minor acts of creativity that are implemented through novel pattern
generation followed by a tie-breaking process by other neural networks that
shifts interpretation of raw sensory input in the direction of what is familiar,
advantageous, or dangerous. In other words, understanding the world is actually
the invention of significance to raw numerical patterns representing sensory
inputs in a process tantamount to our Creativity
Machine Paradigm.In the world
of intelligence gathering such raw inputs correspond to likewise numerical
patterns from the intelligence environment that take the form of text, imagery,
and various forms of acoustic and electromagnetic signals.

In
1996, the first generation of Supernets,
having 100 million connection weights, self-organized itself into a vast
compound neural net that was capable of integrating information from diverse
intelligence streams. In its
“waking” state of operation, it could intercept both textual and graphical
streams from multiple sources as sub-regions began to specialize themselves to
specific genres of content. Later, in its “dreaming” stage, the Supernet
could ceaselessly recall its direct experiences and interconnect them into
deductive and inductive chains, coming to the self-realization that some of
these revelations would be of particular interest to human analysts or
authorities. In 1997, the same experiment was conducted, only now with 100
billion connection weights. With no customer in sight, it generated some very
interesting philosophical revelations based upon the carefully selected closed
world it was assigned to monitor!

The
first important application of the IEI’s Creativity Machine Paradigm to sense
making came in 2001 when a well-known intelligence agency approached the company
to perform semantic data mining of the Internet in search of information related
to certain terrorist activities. With the caveat that the system about to be
donated to the US government was strictly in its beta test phase, the
application performed admirably in what was to become a controversial and
well-publicized pre-911 intelligence activity.

Recent
activities in the last decade have included the building of sophisticated airport
security applications that must integrate and make sense of signals arriving
from sundry cameras, radar, and sensors. Autonomously building an immense model
of airport status quo, it was able to isolate what didn’t make sense, to
initiate a drill down to what mischief could follow.